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Analysing public preferences for cancer screening programmes

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  • Dorte Gyrd‐Hansen
  • Jes Søgaard

Abstract

Economic evaluations generally fail to incorporate elements of intangible costs and benefits, such as anxiety and discomfort associated with the screening test and diagnostic test, as well as the magnitude of utility associated with a reduction in the risk of dying from cancer. In the present analysis, 750 respondents were interviewed and asked to rank, according to priority, a number of alternative screening programme set‐ups. Focus was on colorectal cancer screening and breast cancer screening. The alternative programmes varied with respect to number of tests performed, risk reduction obtained, probability of a false positive outcome and extent of co‐payment. Stated preferences were analysed using discrete ranking modelling and the relative weighting of the programme attributes identified. Applying discrete choice methods to elicit preferences within this area of health care seems justified by the face validity of the results. The signs of the coefficients are in accordance with a priori hypotheses. This paper suggests that large‐scale surveys focusing on individuals' preferences for cancer screening programmes may contribute significantly to the quality of economic evaluations within this field of health care. Copyright © 2001 John Wiley & Sons, Ltd.

Suggested Citation

  • Dorte Gyrd‐Hansen & Jes Søgaard, 2001. "Analysing public preferences for cancer screening programmes," Health Economics, John Wiley & Sons, Ltd., vol. 10(7), pages 617-634, October.
  • Handle: RePEc:wly:hlthec:v:10:y:2001:i:7:p:617-634
    DOI: 10.1002/hec.622
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    1. Karen Gerard & Marian Shanahan & Jordan Louviere, 2003. "Using stated preference discrete choice modelling to inform health care decision-making: A pilot study of breast screening participation," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1073-1085.
    2. Bech, Mickael, 2003. "Politicians' and hospital managers' trade-offs in the choice of reimbursement scheme: a discrete choice experiment," Health Policy, Elsevier, vol. 66(3), pages 261-275, December.
    3. Emily Lancsar & Elizabeth Savage, 2004. "Deriving welfare measures from discrete choice experiments: inconsistency between current methods and random utility and welfare theory," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 901-907, September.
    4. Lin Li & J L (Hans) Severens & Olena Mandrik, 2019. "Disutility associated with cancer screening programs: A systematic review," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-17, July.
    5. Pedersen, Line Bjørnskov & Gyrd-Hansen, Dorte & Kjær, Trine, 2011. "The influence of information and private versus public provision on preferences for screening for prostate cancer: A willingness-to-pay study," Health Policy, Elsevier, vol. 101(3), pages 277-289, August.
    6. Eline Aas, 2009. "Pecuniary compensation increases participation in screening for colorectal cancer," Health Economics, John Wiley & Sons, Ltd., vol. 18(3), pages 337-354, March.
    7. Deborah A. Marshall & F. Reed Johnson & Nathalie A. Kulin & Semra Özdemir & Judith M. E. Walsh & John K. Marshall & Stephanie Van Bebber & Kathryn A. Phillips, 2009. "How do physician assessments of patient preferences for colorectal cancer screening tests differ from actual preferences? A comparison in Canada and the United States using a stated‐choice survey," Health Economics, John Wiley & Sons, Ltd., vol. 18(12), pages 1420-1439, December.
    8. Trey A. Baird & Davene R. Wright & Maria T. Britto & Ellen A. Lipstein & Andrew T. Trout & Shireen E. Hayatghaibi, 2023. "Patient Preferences in Diagnostic Imaging: A Scoping Review," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 16(6), pages 579-591, November.
    9. Lancsar, Emily & Louviere, Jordan & Flynn, Terry, 2007. "Several methods to investigate relative attribute impact in stated preference experiments," Social Science & Medicine, Elsevier, vol. 64(8), pages 1738-1753, April.
    10. Richard Norman & Paula Cronin & Rosalie Viney, 2012. "Deriving utility weights for the EQ-5D-5L using a discrete choice experiment. CHERE Working Paper 2012/01," Working Papers 2012/01, CHERE, University of Technology, Sydney.
    11. Yanjun Sun & Yiping Wang & Huiying Zhang & Zhiqing Hu & Yuhao Ma & Yuan He, 2024. "What Breast Cancer Screening Program do Rural Women Prefer? A Discrete Choice Experiment in Jiangsu, China," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 17(4), pages 363-378, July.

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